#Intrusion-detection-system
Showing 18 of 18 repositories tagged #intrusion-detection-system, ranked by stars
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
Security Onion is a free and open platform for threat hunting, enterprise security monitoring, and log management. It includes our own interfaces for alerting, dashboards, hunting, PCAP, detections, and case management. It also includes other tools such as osquery, CyberChef, Elasticsearch, Logstash, Kibana, Suricata, and Zeek.
Real-time HTTP Intrusion Detection
AD Security Intrusion Detection System
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Entropy scanner for Linux to detect packed or encrypted binaries related to malware. Finds malicious files and Linux processes and gives output with cryptographic hashes.
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
An Intrusion Detection System based on Deep Belief Networks
Sandfly Security Agentless Compromise and Intrusion Detection System For Linux
IoT intrusion Detection Model based on neural network and random forests
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.
SNORT GUI: sniff sniffs the baddies and helps you setup SNORT ids in your network
Advanced use of WPScan (WordPress Security Scanner) with other tools like nmap, nikto, owasp-zap, ids for ethnical Hackers
